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Technology
Machine Learning Street Talk (MLST)
by Machine Learning Street Talk (MLST)
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| Date | Apple Podcasts |
|---|---|
| Oct 3 | #122 |
About the show
Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).
Latest episodes
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How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen
October 1, 2026 · 1 hr 10 minTsung-Hsien (Shawn) Wen, CTO of PolyAI, tells Tim Scarfe why voice agents are harder than text agents. Voice adds time, and a good conversation depends on adapting to the person on the line, not just on reasoning to the best answer. Shawn…
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Who Checks a Proof No Human Can Read? — Leo de Moura
September 30, 2026 · 1 hr 14 minLeonardo de Moura created Lean and co-created Z3. ---This episode is sponsored by Parallel.Parallel, where agents find answers: web search, extraction and deep research APIs built for AI agents.Start free with the Parallel MCP server and…
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When AI Research Starts Moving Faster Than Human Research - Zhengyao Jiang
September 26, 2026 · 44 minWeco let an AI coding agent rewrite the harness around another agent for eight days: its code, prompts and tools, while the underlying language model stayed fixed. Tim Scarfe asks Weco co-founder Zhengyao Jiang what the reported gains over…
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How Deep Learning Finally Cracked Messy Tables - Frank Hutter
September 23, 2026 · 1 hr 53 minFrank Hutter, co-founder of Prior Labs, talks about TabPFN, a tabular foundation model that makes predictions in a single forward pass, and the research behind it. TabPFN is pre-trained on synthetic datasets drawn from a prior over…
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Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick
September 21, 2026 · 2 hr 14 minAlexander Mattick is a researcher at Fraunhofer IIS and a PhD researcher at the University of Technology Nuremberg (UTN), and a regular on Yannic Kilcher's Discord. He first came on MLST in 2022, after helping research the Yann LeCun and…
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How Physical AI Learns Across Language, Video and Action — Ming-Yu Liu
September 15, 2026 · 26 minThe car making a left turn at the start of this episode was never filmed. Cosmos 3 generated it. Ming-Yu Liu, who leads the Cosmos research at NVIDIA, explains how one model can describe a video, generate one, and produce robot…
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Speech Recognition Is Not a Solved Problem — Pavan Kumar Reddy
September 14, 2026 · 1 hr 42 minPavan Kumar Reddy leads audio research at Mistral AI. He joins Tim Scarfe for a deep technical tour of Voxtral — and explains why the frontier of deployed voice is still a cascade of specialised models rather than one end-to-end…
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How Replication Could Teach Machines What Good Science Looks Like — Edward Hughes
September 11, 2026 · 2 hr 2 minCan a machine learn the judgement that separates a plausible-looking result from a faithful experiment? Edward Hughes, Chief Scientist and co-founder of Inherent, joins Tim Scarfe to argue that creativity is not optimisation, and that the…